Volatility Puzzle: Long Memory or Antipersistency

The log realized volatility (RV) is often modeled as an autoregressive fractionally integrated moving average model ARFIMA(1, d, 0). Two conflicting empirical results have been found in the literature. One stream shows that log RV has a long memory (i.e., the fractional parameter d > 0). The othe...

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Main Authors: SHI, Shuping, Jun YU
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Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/soe_research/2693
https://ink.library.smu.edu.sg/context/soe_research/article/3692/viewcontent/VolatilityPuzzle_sv.pdf
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spelling sg-smu-ink.soe_research-36922023-11-10T02:53:46Z Volatility Puzzle: Long Memory or Antipersistency SHI, Shuping Jun YU, The log realized volatility (RV) is often modeled as an autoregressive fractionally integrated moving average model ARFIMA(1, d, 0). Two conflicting empirical results have been found in the literature. One stream shows that log RV has a long memory (i.e., the fractional parameter d > 0). The other stream suggests that the autoregressive coefficient α is near unity with antipersistent errors (i.e., d 2023-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2693 info:doi/10.1287/mnsc.2022.4552 https://ink.library.smu.edu.sg/context/soe_research/article/3692/viewcontent/VolatilityPuzzle_sv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Fractional integration Long memory Realized volatility Roughness Short-run dynamics Econometrics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Fractional integration
Long memory
Realized volatility
Roughness
Short-run dynamics
Econometrics
spellingShingle Fractional integration
Long memory
Realized volatility
Roughness
Short-run dynamics
Econometrics
SHI, Shuping
Jun YU,
Volatility Puzzle: Long Memory or Antipersistency
description The log realized volatility (RV) is often modeled as an autoregressive fractionally integrated moving average model ARFIMA(1, d, 0). Two conflicting empirical results have been found in the literature. One stream shows that log RV has a long memory (i.e., the fractional parameter d > 0). The other stream suggests that the autoregressive coefficient α is near unity with antipersistent errors (i.e., d
format text
author SHI, Shuping
Jun YU,
author_facet SHI, Shuping
Jun YU,
author_sort SHI, Shuping
title Volatility Puzzle: Long Memory or Antipersistency
title_short Volatility Puzzle: Long Memory or Antipersistency
title_full Volatility Puzzle: Long Memory or Antipersistency
title_fullStr Volatility Puzzle: Long Memory or Antipersistency
title_full_unstemmed Volatility Puzzle: Long Memory or Antipersistency
title_sort volatility puzzle: long memory or antipersistency
publisher Institutional Knowledge at Singapore Management University
publishDate 2023
url https://ink.library.smu.edu.sg/soe_research/2693
https://ink.library.smu.edu.sg/context/soe_research/article/3692/viewcontent/VolatilityPuzzle_sv.pdf
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